R-universe search: exports:dlogitnorm

Showing 5 of total 5 results (show query)

config-i1

greybox:Toolbox for Model Building and Forecasting

Implements functions and instruments for regression model building and its application to forecasting. The main scope of the package is in variables selection and models specification for cases of time series data. This includes promotional modelling, selection between different dynamic regressions with non-standard distributions of errors, selection based on cross validation, solutions to the fat regression model problem and more. Models developed in the package are tailored specifically for forecasting purposes. So as a results there are several methods that allow producing forecasts from these models and visualising them.

Maintained by Ivan Svetunkov. Last updated 15 days ago.

forecasting model-selection model-selection-and-evaluation regression regression-models statistics cpp

30 stars 11.03 score 97 scripts 34 dependents

dmphillippo

multinma:Bayesian Network Meta-Analysis of Individual and Aggregate Data

Network meta-analysis and network meta-regression models for aggregate data, individual patient data, and mixtures of both individual and aggregate data using multilevel network meta-regression as described by Phillippo et al. (2020) <doi:10.1111/rssa.12579>. Models are estimated in a Bayesian framework using 'Stan'.

Maintained by David M. Phillippo. Last updated 3 days ago.

statistics cpp

35 stars 9.34 score 163 scripts

bgctw

logitnorm:Functions for the Logitnormal Distribution

Density, distribution, quantile and random generation function for the logitnormal distribution. Estimation of the mode and the first two moments. Estimation of distribution parameters.

Maintained by Thomas Wutzler. Last updated 1 years ago.

1 stars 6.34 score 89 scripts 13 dependents

giabaio

bmhe:This Package Creates a Set of Functions Useful for Bayesian modelling

A set of utility functions that can be used to post-process BUGS or JAGS objects as well as other to facilitate various Bayesian modelling activities (including in HTA).

Maintained by Gianluca Baio. Last updated 24 days ago.

bayesian-statistics bugs cost-effectiveness-analysis jags tidyverse

2 stars 3.00 score 7 scripts

cran

mcmapper:Mapping First Moment and C-Statistic to the Parameters of Distributions for Risk

Provides a series of numerical methods for extracting parameters of distributions for risks based on knowing the expected value and c-statistics (e.g., from a published report on the performance of a risk prediction model). This package implements the methodology described in Sadatsafavi et al (2024) <doi:10.48550/arXiv.2409.09178>. The core of the package is mcmap(), which takes a pair of (mean, c-statistic) and the distribution type requested. This function provides a generic interface to more customized functions (mcmap_beta(), mcmap_logitnorm(), mcmap_probitnorm()) for specific distributions.

Maintained by Mohsen Sadatsafavi. Last updated 5 months ago.

1.70 score